The development of a simulation model of the treatment of coronary heart disease
The development of a simulation model of the treatment of coronary heart disease
A discrete event simulation models the progress of patients who have had a coronary event, through their treatment pathways and subsequent coronary events. The main risk factors in the model are age, sex, history of previous events and the extent of the coronary vessel disease. The model parameters are based on data collected from epidemiological studies of incidence and prognosis, efficacy studies, national surveys and treatment audits. The simulation results were validated against different sources of data. The initial results show that increasing revascularisation has considerable implications for resource use but has little impact on patient mortality.
simulation, coronary artery disease, treatment modelling
259-267
Cooper, Keith
2e282110-ffcb-4d39-abdf-5793a1fa9c94
Davies, Ruth
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Roderick, Paul
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Chase, Debbie
723c480c-334e-4d5b-9157-47e23fc8bda5
Raftery, James
de9dd294-3a0e-4756-8427-a4f2382495db
2002
Cooper, Keith
2e282110-ffcb-4d39-abdf-5793a1fa9c94
Davies, Ruth
8111134a-4e4b-4c6c-a251-1ce8b94e648a
Roderick, Paul
dbb3cd11-4c51-4844-982b-0eb30ad5085a
Chase, Debbie
723c480c-334e-4d5b-9157-47e23fc8bda5
Raftery, James
de9dd294-3a0e-4756-8427-a4f2382495db
Cooper, Keith, Davies, Ruth, Roderick, Paul, Chase, Debbie and Raftery, James
(2002)
The development of a simulation model of the treatment of coronary heart disease.
Health Care Management Science, 5 (4), .
(doi:10.1023/A:1020378022303).
Abstract
A discrete event simulation models the progress of patients who have had a coronary event, through their treatment pathways and subsequent coronary events. The main risk factors in the model are age, sex, history of previous events and the extent of the coronary vessel disease. The model parameters are based on data collected from epidemiological studies of incidence and prognosis, efficacy studies, national surveys and treatment audits. The simulation results were validated against different sources of data. The initial results show that increasing revascularisation has considerable implications for resource use but has little impact on patient mortality.
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Published date: 2002
Keywords:
simulation, coronary artery disease, treatment modelling
Identifiers
Local EPrints ID: 24309
URI: http://eprints.soton.ac.uk/id/eprint/24309
ISSN: 1386-9620
PURE UUID: abb61b33-a75e-4065-82bb-851c4cff3296
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Date deposited: 29 Mar 2006
Last modified: 16 Mar 2024 02:48
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Contributors
Author:
Keith Cooper
Author:
Ruth Davies
Author:
Debbie Chase
Author:
James Raftery
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